CN102889907A - Flow monitoring device and flow monitoring method based on visual inspection - Google Patents

Flow monitoring device and flow monitoring method based on visual inspection Download PDF

Info

Publication number
CN102889907A
CN102889907A CN2012103262399A CN201210326239A CN102889907A CN 102889907 A CN102889907 A CN 102889907A CN 2012103262399 A CN2012103262399 A CN 2012103262399A CN 201210326239 A CN201210326239 A CN 201210326239A CN 102889907 A CN102889907 A CN 102889907A
Authority
CN
China
Prior art keywords
flowmeter
flow
image
pixel
ccd camera
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2012103262399A
Other languages
Chinese (zh)
Other versions
CN102889907B (en
Inventor
刘力双
吕勇
郎晓萍
燕必希
娄小平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Information Science and Technology University
Original Assignee
Beijing Information Science and Technology University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Information Science and Technology University filed Critical Beijing Information Science and Technology University
Priority to CN201210326239.9A priority Critical patent/CN102889907B/en
Publication of CN102889907A publication Critical patent/CN102889907A/en
Application granted granted Critical
Publication of CN102889907B publication Critical patent/CN102889907B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measuring Volume Flow (AREA)
  • Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)

Abstract

The invention discloses a flow monitoring device and a flow monitoring method based on visual inspection. The device mainly comprises a glass floater flow meter, an illumination light source, an optical lens, a CCD (charge coupled device) camera and a computer. The glass floater flow meter is connected into a flow pipeline to be measured; the illumination light source is a red LED (light emitting diode) flat light source for back lighting of the glass floater flow meter; the CCD camera and the optical lens form a visual inspection system to shoot images of the glass floater flow meter; and computer software is used for collecting and processing the images of the CCD camera. The flow monitoring method comprises the following steps: flow monitoring software displays the images of the CCD camera in real time and processes the images so as to acquire the positions of the floaters of the flow meters in the images, the flow indications of the glass floater flow meter are calculated according to the linear interpolation of the corresponding relationship between pre-marked positions of scale marks of the flow meters and flow indications, whether the flow indications are within a preset range is judged, the flow indications are displayed and stored, and the total volume of the fluid is calculated.

Description

A kind of flow-monitoring device and flux monitoring method based on vision-based detection
Technical field
The present invention relates to a kind of flow-monitoring device based on vision-based detection and flux monitoring method, belong to the photoelectric measurement field, be applicable to the Real Time Monitoring of fluid flow in the pipeline, storage and the statistical study of data on flows.
Background technology
Flowmeter is defined as: indication measured flux or in the instrument of selected time interval inner fluid total amount.Be exactly a kind of instrument that is used for the measuring channel fluid flow in simple terms, the material that flows through can be gas, liquid, solid.Can be divided into instantaneous delivery and integrated flow, instantaneous delivery is the amount of crossing the closed conduct free area in the unit interval, and integrated flow is within a certain period time interval (one day, a week, January, 1 year) flow and crosses the cumulative amount of closed conduct free area.Also can try to achieve integrated flow by instantaneous delivery to time integral, so also can mutually transform between instantaneous flowmeter and the flow quantity recorder.
Flowmeter is divided into again suspended body flowmeter, restriction flowmeter, slit flowmeter, volume-displacement, electromagnetic flowmeter, ultrasonic flow meter etc.
Suspended body flowmeter is a kind of of variable area formula flowmeter.In a vertical Taper Pipe that enlarges from bottom to top, the gravity of the float of circular cross section is born by hydrodynamic, thereby float can freely be risen in Taper Pipe and descend.It is simple that suspended body flowmeter has physical construction, easy to process, and working stability, reliability is high and pressure decreases the advantages such as little, so be widely used in the flow measurement of gas, liquid and automatic control system.Suspended body flowmeter is divided into metal Taper Pipe suspended body flowmeter and glass conical tube suspended body flowmeter.The advantage of glass conical tube suspended body flowmeter is to realize on-the-spot visual reading, but can't realize the teletransmission of data on flows, the i.e. monitoring of flow and overproof warning etc.Metal Taper Pipe suspended body flowmeter is realized measuring by the position of sensor measurement float, can realize the electrical distance transmitting of measurement data, thereby realizes monitoring and overproof warning, but can't realize on-the-spot visual monitoring and reading.
In the automatic improving process of factory, there is factory to propose the traffic monitoring demand, should realize the on-the-spot visual monitoring of piping flow, need realize that again Master Control Center is to the Real Time Monitoring of fluid flow in the pipeline, storage and the statistical study of data on flows.
Summary of the invention
The on-the-spot visual monitoring of both having realized piping flow can't be satisfied in the existing flow detection technology, the requirement of the Real Time Monitoring of fluid flow in the Master Control Center pipeline need be realized again.
In order to solve the problems of the technologies described above, the technical solution used in the present invention is:
Based on vision detection technology, using the glass ball float flowmeter to carry out on the basis of the on-the-spot visual monitoring of piping flow measurement realization, adopt vision detection system to take 4 glass ball float flowmeter images, image is processed the flow reading value that calculates each flowmeter, thereby made Master Control Center realize the Real Time Monitoring of fluid flow in the pipeline, storage and the statistical study of data on flows.
The invention provides a kind of flow-monitoring device based on vision-based detection, this device mainly comprises: glass ball float flowmeter, lighting source, optical lens, CCD camera and computing machine.The glass ball float flowmeter is connected in the pipeline of flow fluid to be measured.Lighting source adopts the luminous flat-plate light source of red LED, is fixed on the dorsal part of glass ball float flowmeter, and the glass ball float flowmeter is carried out back lighting.CCD camera and optical lens consist of the vision-based detection imaging system, take the image of glass ball float flowmeter.Computing machine gathers the flowmeter image that the CCD camera is taken by image pick-up card.
Flux monitoring method based on vision-based detection provided by the invention may further comprise the steps: open traffic monitoring software of the present invention in the computing machine; Carry out the software parameter setting; Software collection CCD camera image, and show at software interface; The flowmeter image is processed, drawn the reading value of each glass ball float flowmeter; Whether the reading value of judging each glass ball float flowmeter in setting range, goes beyond the scope and then reports to the police; Flow value is shown and stores; Calculate total fluid volume that each flowmeter flows through; Software can be inquired about the data on flows of each flowmeter of having stored, and embodies with the form of chart.
Flow-monitoring device and flux monitoring method based on vision-based detection provided by the invention has the following advantages:
1. use the glass ball float flowmeter, be convenient to realize the on-the-spot visual measurement of pipeline working condition and flow, Master Control Center also can be realized by image demonstration and result thereof the monitoring of pipeline working condition and uninterrupted simultaneously, and data on flows is stored and statistical study;
2. in the automatic improving process of factory, do not need to close and change fluid circuit, only need to native system be installed at original glass ball float flowmeter, just can realize the traffic monitoring of Master Control Center.
Description of drawings
Fig. 1 is the flow-monitoring device schematic diagram based on vision-based detection according to the embodiment of the invention.
The glass ball float flowmeter pictorial diagram that Fig. 2 adopts for the flow-monitoring device based on vision-based detection according to the embodiment of the invention.
Fig. 3 is the flow-monitoring device LED flat-plate light source pictorial diagram based on vision-based detection according to the embodiment of the invention.
Fig. 4 is the flow-monitoring device pictorial diagram based on vision-based detection according to the embodiment of the invention.
Fig. 5 is the sectional drawing according to the flowmeter image of taking based on the flow-monitoring device of vision-based detection of the embodiment of the invention.
Fig. 6 is the traffic monitoring software interface figure based on vision-based detection according to the embodiment of the invention.
Embodiment
To describe embodiments of the invention in detail now, its example is shown in the drawings, and wherein, identical label represents identical parts all the time.These embodiment are described below with reference to the accompanying drawings to explain the present invention.
1. based on the flow-monitoring device embodiment of vision-based detection
With reference to Fig. 1, be the schematic diagram based on the flow-monitoring device figure of vision-based detection according to the embodiment of the invention.Among the figure: 1 is computing machine, and 2 is vision cable, and 3 is the CCD camera, and 4 is optical lens, and 5 is the vision detection system regulation fixing apparatus, and 6 is the glass ball float flowmeter, and 7 is lighting source,, 8 is Switching Power Supply, 9 is the 220V power supply.Adopt a cover vision detection system to gather 4 glass ball float flowmeter images among the figure.
With reference to the glass ball float flowmeter pictorial diagram of Fig. 2 for adopting according to the flow-monitoring device based on vision-based detection of the embodiment of the invention.10 is float among the figure, and 11 is glass tube, and 12 is fluid intake, and 13 is fluid egress point.
Be the flow-monitoring device lighting source pictorial diagram based on vision-based detection according to the embodiment of the invention with reference to Fig. 3, be the luminous flat-plate light source of LED, glow color is red.Adopt LED to have the advantages such as thermal value is little, energy-conservation, the life-span long, saving space as lighting source, adopt flat-plate light source to have the uniform characteristics of illumination.Through test of many times, led light source throws light on dorsad to flowmeter and is conducive to the clear position of float in flowmeter that embody, and is convenient to the processing of flowmeter image.
The CCD camera adopts the black-white CCD camera, consists of vision detection system with optical lens, takes the image of glass ball float flowmeter.Computing machine gathers the picture signal that the CCD camera is taken by image pick-up card.
Be according to flow-monitoring device pictorial diagram of the invention process with reference to Fig. 4.
It is the sectional drawing of the flowmeter image taken according to flow-monitoring device of the invention process with reference to Fig. 5.
Be traffic monitoring software interface figure according to flow-monitoring device of the invention process with reference to Fig. 6.
The adjustment of device is with fixing: flow-monitoring device need to be adjusted, adjust the focal length of optical lens and the position of CCD camera, the glass tube of measured flux meter can all be imaged on the image that the CCD camera photographs, make simultaneously the Image Adjusting of the upper flowmeter of CCD to the most clear.After adjustment is finished whole device is fixed, at the device run duration, the relative position that needs to guarantee each parts does not change.
2. based on the flux monitoring method embodiment of vision-based detection
2.1 the technical solution used in the present invention is:
Based on vision detection technology, using the glass ball float flowmeter to carry out on the basis of pipeline fluid flow measurement, adopt the CCD camera to take the flowmeter image, image processed drawing the flow reading value, thereby make Master Control Center realize the Real Time Monitoring of fluid flow in the pipeline, storage and the statistical study of data on flows.
2.2 the implementation process based on the flux monitoring method of vision-based detection is:
(1) opens traffic monitoring software of the present invention in the computing machine.Described traffic monitoring software is worked out by device of the present invention, and software interface as shown in Figure 6.
(2) carry out the software parameter setting.After device adjustment is fixedly finished, need to some software parameter be set according to device.Described parameter setting method is: the image that computer acquisition one width of cloth CCD camera is taken, memory image; This image is analyzed, marked the location of pixels Xm of the horizontal direction of each flowmeter glass tube center line in image j, wherein j represents the label of flowmeter, j=1,2,3,4; Mark each flowmeter glass tube image in the effective range of vertical direction, lower limit
Figure BSA00000774085300031
And higher limit
Figure BSA00000774085300032
Mark the vertical position in image of all scale marks on each flowmeter, i.e. Y coordinate is with the scale mark position
Figure BSA00000774085300033
With and flow reading Corresponding relation by storing in the software, wherein i represents the scale mark label of j flowmeter; The predetermined range of each flowmeter flow value is set, lower limit MinL jWith upper limit value M axL j
(3) software collection CCD camera image, and show at software interface.
(4) software collection CCD camera image, and image processed, draw the flow reading value of glass ball float flowmeter.
Described image processing process is:
Computer software gathers the image of CCD camera, is stored as respectively image M 1And image M 2
To M 1Image carries out the Threshold segmentation operation, that is:
M 1 ( x , y ) = 255 M 1 ( x , y ) &GreaterEqual; T 0 M 2 ( x , y ) < T
Wherein threshold value T adopts image M 1The grey level histogram valley point determine.
Calculate the Pixel-level position on each flowmeter float top: at M 1Each flowmeter glass tube center Xm in the image jThe place vertically scanning, scope from
Figure BSA00000774085300042
Arrive If the pixel value of a certain pixel is 0, and the pixel value of this pixel top pixel is 255, and the pixel value of this 5th pixel in pixel below is 0, thinks that then this pixel is the top of float, and namely this is the Pixel-level position of float in image, is designated as
Figure BSA00000774085300044
In order to improve the precision of float location, adopting sub-pixel edge location method is that top Y coordinate is accurately located to the vertical position on float top, and the sub-pixel location method of calculating float is: utilize M 2Image, the Gray Moment sub-pixel edge location method in the list of references " vision measurement gordian technique and the application in automatically detecting " is with M 2In the image
Figure BSA00000774085300045
The pixel value of 2 pixels of 3 pixels and belows in top is brought the top sub-pixel location that formula is obtained float into
Figure BSA00000774085300046
In like manner the adjacent columns of glass tube center is carried out the sub-pixel positioning on float top,
Figure BSA00000774085300047
With
Figure BSA00000774085300048
Pixel carries out sub-pixel positioning and obtains the sub-pixel edge point
Figure BSA00000774085300049
With
Figure BSA000007740853000410
With the sub-pixel edge point of 3 row pixels
Figure BSA000007740853000411
Getting average obtains
Determine the reading value that the float apical position is corresponding: find in this flowmeter scale mark position from Two nearest scale marks, namely And two scale values that scale mark is corresponding
Figure BSA000007740853000415
The employing linear interpolation method draws
Figure BSA000007740853000416
Corresponding reading value L j, be formulated as:
L j = Y p j &prime; &OverBar; - Y j i Y j i + 1 - Y j i ( L j i + 1 - L j i )
(5) software is to the flow value L of each flowmeter jStore;
Whether the flow value of (6) judging each flowmeter according to result in preset range, goes beyond the scope and then reports to the police, and namely judges the reading value L of each flowmeter jWhether satisfy MinL j≤ L j≤ MaxL j
(7) calculate total fluid volume that each flowmeter flows through.The time interval t that software records computer acquisition and this width of cloth CCD camera image of processing and a upper width of cloth CCD camera image are processed, always establishing before this record, fluid volume is
Figure BSA000007740853000418
Then total fluid volume is behind the record V 2 j = V 1 j + L j * t .
(8) software can be inquired about the data on flows of each flowmeter of having stored, and embodies with the form of chart.
With reference to the flow-monitoring device based on vision-based detection of the present invention, can gather the vision signal of n CCD camera such as computing machine, then adopt n cover vision-based detection imaging system, can realize simultaneously 4 * n glass ball float flowmeter being monitored.
Specifically describe and shown the present invention with reference to exemplary embodiment of the present invention, but will be understood by those skilled in the art that, in the situation that does not break away from the spirit and scope of the present invention that are defined by the claims, can carry out to it various changes of form and details.

Claims (7)

1. the flow-monitoring device based on vision-based detection mainly comprises: glass ball float flowmeter, lighting source, optical lens, CCD camera and computing machine;
The glass ball float flowmeter is connected in the pipeline to be measured, and CCD camera and optical lens consist of the vision-based detection imaging system, takes glass ball float flowmeter image, computer acquisition CCD camera image.
2. the flow-monitoring device based on vision-based detection according to claim 1 is characterized in that, described flowmeter adopts the glass ball float flowmeter.
3. the flow-monitoring device based on vision-based detection according to claim 2 is characterized in that, described lighting source adopts the luminous flat-plate light source of LED, and the LED glow color is red, is back lighting to glass ball float flowmeter lighting system.
4. the flow-monitoring device based on vision-based detection according to claim 3 is characterized in that, CCD camera and optical lens consist of the image that the vision-based detection imaging system is taken 4 glass ball float flowmeters simultaneously.
5. the flow-monitoring device based on vision-based detection according to claim 4, it is characterized in that, described computing machine to the CCD collected by camera to image show, and described image is processed the flow reading value that draws each glass ball float flowmeter, judge that flow value is whether in setting range; Flow value is shown and stores; The Fluid Computation cumulative volume.
6. adopt the flux monitoring method of each described device of claim 1-5, it is characterized in that, computing machine carries out the parameter setting in advance, then gather the CCD camera image, show in real time image, simultaneously image is processed, draw the flow reading value of glass ball float flowmeter, flow value is shown and stores, and the Fluid Computation cumulative volume;
Carrying out in advance parameter setting method is: gather the image that a width of cloth CCD camera is taken, described image is analyzed, mark the location of pixels of the horizontal direction of each flowmeter glass tube center line in image; Mark each flowmeter glass tube image in the effective range of vertical direction; Mark the position of all scale marks vertical direction in image on each flowmeter, store all scale mark positions with and corresponding flow reading; Set the predetermined range of each flowmeter flow value;
Described image processing process is: gather the image of CCD camera, be stored as image M 1And image M 2To M 1Image carries out the Threshold segmentation operation, and segmentation threshold adopts image M 1The grey level histogram valley point determine; Calculate the Pixel-level position on each flowmeter float top; Calculate the sub-pixel location on each flowmeter float top; Determine the reading value that the float apical position is corresponding;
The Pixel-level location positioning method on each flowmeter float top is in the described image: in the M1 image behind Threshold segmentation each flowmeter glass tube center position is vertically scanned, if the pixel value of a certain pixel is 0, and the pixel value of this pixel top pixel is 255, and the pixel value of this 5th pixel in pixel below is 0, think that then this pixel is the top of float, namely this is this Pixel-level position in image, flowmeter float top;
Total fluid volume method that each flowmeter of described calculating flows through is: the time interval t that this width of cloth CCD camera image of logger computer collection and processing and a upper width of cloth CCD camera image are processed, total fluid volume of front j the flowmeter of this record is
Figure FSA00000774085200011
Lj is j the flow reading that suspended body flowmeter is current, and then total fluid volume is behind the record
Figure 20121032623991000011
7. method as claimed in claim 6 is characterized in that, the sub-pixel location computing method on described each flowmeter float top are the Gray Moment sub-pixel edge location method;
Reading value method corresponding to described definite float apical position is linear interpolation method.
CN201210326239.9A 2012-09-06 2012-09-06 Flow monitoring device and flow monitoring method based on visual inspection Expired - Fee Related CN102889907B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210326239.9A CN102889907B (en) 2012-09-06 2012-09-06 Flow monitoring device and flow monitoring method based on visual inspection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210326239.9A CN102889907B (en) 2012-09-06 2012-09-06 Flow monitoring device and flow monitoring method based on visual inspection

Publications (2)

Publication Number Publication Date
CN102889907A true CN102889907A (en) 2013-01-23
CN102889907B CN102889907B (en) 2014-10-22

Family

ID=47533486

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210326239.9A Expired - Fee Related CN102889907B (en) 2012-09-06 2012-09-06 Flow monitoring device and flow monitoring method based on visual inspection

Country Status (1)

Country Link
CN (1) CN102889907B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103968900A (en) * 2014-05-19 2014-08-06 中国航空动力机械研究所 Fluid flow measuring system and measuring method
CN105547389A (en) * 2016-01-14 2016-05-04 中国航空动力机械研究所 Lubricating oil nozzle flow two-CCD-camera measure system and method
CN105953850A (en) * 2016-06-27 2016-09-21 四川理工学院 Online fluid small flow detection system based on machine vision and online fluid small flow detection method based on machine vision for float flowmeter
CN106289426A (en) * 2016-06-29 2017-01-04 天津市计量监督检测科学研究院 A kind of glass ball float effusion meter automatic reading system and automatic reading method thereof
CN109944714A (en) * 2018-12-10 2019-06-28 西安航天化学动力有限公司 The on-line measuring device of hopper blanking velocity
CN110424943A (en) * 2019-07-18 2019-11-08 北京信息科技大学 Oil, gas and water micro-flow measurement device and measurement method
CN111765929A (en) * 2020-06-22 2020-10-13 中国科学院西安光学精密机械研究所 Filling pipeline flow image measuring method and device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2572356Y (en) * 2002-09-30 2003-09-10 刘宝和 High-pressure oil and water meter
CN2826373Y (en) * 2005-05-27 2006-10-11 刘宝和 Oil-gas-water automatic gauging instrument
CN102564520A (en) * 2011-10-13 2012-07-11 中国石油天然气股份有限公司 Automatic oil-water metering device and automatic oil-water metering method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2572356Y (en) * 2002-09-30 2003-09-10 刘宝和 High-pressure oil and water meter
CN2826373Y (en) * 2005-05-27 2006-10-11 刘宝和 Oil-gas-water automatic gauging instrument
CN102564520A (en) * 2011-10-13 2012-07-11 中国石油天然气股份有限公司 Automatic oil-water metering device and automatic oil-water metering method

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103968900A (en) * 2014-05-19 2014-08-06 中国航空动力机械研究所 Fluid flow measuring system and measuring method
CN105547389A (en) * 2016-01-14 2016-05-04 中国航空动力机械研究所 Lubricating oil nozzle flow two-CCD-camera measure system and method
CN105953850A (en) * 2016-06-27 2016-09-21 四川理工学院 Online fluid small flow detection system based on machine vision and online fluid small flow detection method based on machine vision for float flowmeter
CN105953850B (en) * 2016-06-27 2019-04-12 四川理工学院 The small flow quantity detecting system of the online fluid of suspended body flowmeter and method based on machine vision
CN106289426A (en) * 2016-06-29 2017-01-04 天津市计量监督检测科学研究院 A kind of glass ball float effusion meter automatic reading system and automatic reading method thereof
CN106289426B (en) * 2016-06-29 2020-12-04 天津市计量监督检测科学研究院 Automatic reading system and automatic reading method for glass float flowmeter
CN109944714A (en) * 2018-12-10 2019-06-28 西安航天化学动力有限公司 The on-line measuring device of hopper blanking velocity
CN109944714B (en) * 2018-12-10 2021-03-30 西安航天化学动力有限公司 Online detection device for feeding speed of primary hopper
CN110424943A (en) * 2019-07-18 2019-11-08 北京信息科技大学 Oil, gas and water micro-flow measurement device and measurement method
CN110424943B (en) * 2019-07-18 2022-09-16 北京信息科技大学 Oil, gas and water micro-flow measuring device and measuring method
CN111765929A (en) * 2020-06-22 2020-10-13 中国科学院西安光学精密机械研究所 Filling pipeline flow image measuring method and device

Also Published As

Publication number Publication date
CN102889907B (en) 2014-10-22

Similar Documents

Publication Publication Date Title
CN102889907B (en) Flow monitoring device and flow monitoring method based on visual inspection
TWI473976B (en) Module for measuring the height of a liquid surface
Florens et al. Defining the roughness sublayer and its turbulence statistics
CN105181082A (en) Liquid level detection method and liquid level detection device based on visible laser and image processing
CN203148531U (en) Water level and water quality monitoring terminal based on machine vision
CN103852130A (en) Water level collecting method based on image identification
CN103955583B (en) Method for determining threshold value of urban built-up area extracted through nighttime light data
CN107833203A (en) A kind of horizontal plane identification and water level method for real-time measurement based on image procossing
CN103954542A (en) PM2.5 (Particulate Matter2.5) concentration detector based on definition evaluation without reference image
CN101995281A (en) Digital image processing-based water level measurement method
CN109186706A (en) A method of for the early warning of Urban Storm Flood flooding area
CN102635056A (en) Measuring method for construction depth of asphalt road surface
CN105526909A (en) Settlement detecting method and device based on image recognition principle
CN101218602A (en) Image processor and environment information observing device
CN109764930A (en) A kind of water gauge water level line visible detection method suitable for complex illumination condition
CN103940344B (en) A kind of High Precision Long-distance displacement transducer
CN115060343B (en) Point cloud-based river water level detection system and detection method
CN117953445B (en) Road visibility measuring method, system and medium based on traffic monitoring camera in rainy days
KR101548077B1 (en) Apparatus and method for measuring image snowfall
CN102279032A (en) Three-dimensional reconstruction method of micro amplitude waves of free liquid surface
CN114845260A (en) Hydrology monitoring data acquisition system based on thing networking
CN110992415A (en) Water surface floater pollution evaluation system and method based on big data
CN203881398U (en) Image recognition type water level acquisition instrument
Samann Real-time liquid level and color detection system using image processing
CN206725041U (en) Non-intrusion type level gauging device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20141022

Termination date: 20150906

EXPY Termination of patent right or utility model